基于数据挖掘的电网高峰负荷预测系统  

Peak Load Forecasting System Based on Data Mining

作　　者：柳进[1] 于继来[1] 唐降龙[1] 

机构地区：[1]哈尔滨工业大学实验学院,哈尔滨150001

出　　处：《计算机工程》2005年第1期9-11,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(59477010)

摘　　要：分析电网高峰负荷运行规律,以数据挖掘为核心技术,搭建数据仓库平台,在此基础上给出一种混合策略的神经网络的高峰负荷预测系统,该系统将模糊聚类、L-M神经网络等综合技术融合一体,可以从海量负荷数据中挖掘出有用知识为电网高峰负荷预测服务。This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.

关 键 词：数据挖掘 高峰负荷预测 模糊聚类 神经网络 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]